Abnormality Prediction Device Using Premonitory Symptom Patterns
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Solution Overview
Problem
Existing portable body abnormality notification devices and daily life degree analysis systems fail to notify users of potential abnormalities before they occur, making it difficult to take preventive measures, and they also struggle to inform both the monitored person and the monitoring person of impending changes in a timely manner.
Innovation Solution
An abnormality prediction device that detects biological and motion information, determines premonitory symptoms based on patterns, and outputs notification information when a premonitory symptom is detected, allowing users to take preventive actions before an actual abnormality occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing portable body abnormality notification devices detect biological information and notify users of abnormal states, then users can be alerted to actual abnormalities, but users cannot be notified of potential abnormalities before they occur
Solution Approach 1:
The system performs preliminary detection of premonitory symptoms by analyzing biological information patterns before actual abnormalities occur. The premonitory symptom determination unit identifies early warning signs and triggers notifications in advance, enabling users to take preventive measures before the actual abnormality happens.
Solution Approach 2:
The system continuously monitors biological information and compares it against stored premonitory patterns to provide feedback about potential abnormalities. This feedback mechanism allows the system to detect deviations from normal patterns and alert users to potential issues before they manifest as actual abnormalities.
2Ease of operation
If the system notifies users of actual abnormalities after they occur, then users can take corrective actions, but preventive measures cannot be taken in time
Solution Approach 1:
The system is configured to notify users of potential abnormalities before they actually occur by detecting premonitory symptoms. This preliminary notification enables users to take preventive actions in advance, transforming the system from reactive to proactive operation.
3Reliability
If the system continuously monitors biological information to detect premonitory symptoms, then timely prediction of abnormalities is achieved, but energy consumption increases
Solution Approach 1:
The system performs periodic monitoring of biological information at predetermined time intervals rather than continuous monitoring. The measurement unit acquires biological information at set cycles, and the determination unit analyzes this periodic data to detect premonitory symptoms, reducing energy consumption while maintaining prediction reliability.
Data Source
AI summary
An abnormality prediction device includes a detection unit that detects detection information including at least one of biological information of a user and body motion information regarding a body motion of the user, a premonitory symptom determination unit (control unit) that determines whether a premonitory symptom has occurred in the user on the basis of the detection information detected by the detection unit and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user, and an information output unit (control unit) that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, outputs notification information indicating that occurrence of abnormality in the user is predicted.